“nominally significant”

Results: Among the 5 subjects, there were 132 nominally significant correlations (p< 0.05) between mRNA expression and MRI activity.

The associations remained nominally significant ( P <0.05) following an adjustment for intakes of other foods ( Table 2 ).

We identified a fully connected cluster of diseases where all pairwise genetic correlations were nominally significant (p ≤ 0.05).

Furthermore, when applying a sequential analysis approach in an N-of-1 framework, we were able to determine that 13 of the 15 individuals with nominally significant systolic blood pressure changes, and 14 of the 18 individuals with diastolic blood pressure changes over six months demonstrated this trend (p < 0.05) by the fifth month of their study enrollment.

Nominally significant findings ( P < .05) that did not meet these thresholds were reported cautiously.

Once there was nominally significant association appeared either for alleles or genotypes under additive model (nominal P < 0.05), further analyses for genotypes based on dominant and recessive models were conducted [ 16 ].

For CpGs with nominally significant interaction terms (p ≤ 5.00E-02), we generated stratified ΔM results.

Meta-analysis suggested that genetically proxied statin use was negatively associated with the order Actinomycetales, the family Actinomycetaceae, and the genera Actinomyces , Ruminococcus gnavus group , Eisenbergiella , and Erysipelatoclostridium at a nominally significant level ( P < 0.05) ( Figure 3 A ; Table S4 ).

Genome-wide differential expression analysis between medicated and non-medicated samples in each lesion subtype resulted in 569 (DIE), 836 (OMA) and 638 (SUP) nominally significant genes ( p < 0.05).

In subsequent analyses stratified by genotype, we observed nominally significant associations in both homozygous major and homozygous minor allele carriers ( p < 0.05).

For any medication with a nominally significant association ( p < .05), the same analysis was repeated in the chemotherapy group to test for nonspecific effects.

as potential biomarkers, two were not identified in our study, one (Hemoglobin subunit β) was found to be nominally significant ( p < 0.05) but did not pass adjustment for multiple testing, and the remaining five were identified but not found to be significant in our study.

We observed 1279 (9.6%) nominally significant protein–disease associations at P < 0.05, constituting a substantial excess in comparison to the number expected under the null.

Although this analysis did not yield any significant genes after multiple testing correction, 15 genes were nominally significant ( p < 0.05), corresponding to a 2-fold enrichment with respect to the null hypothesis (Supplementary Fig. 7c ).

Where the linear dose term was nominally significant at P<0.05, we also used a complementary means of analysis to examine within-subject QTc effects.

Nominally significant association ( P <0.05) was found with 18 SNPs, in three main clusters across three adjacent genes SLCO3A1 , ST8SIA2 , and C15orf32 ( Table 1 ).

Across the 49 discovery lipid hits, 20 were also mapped by the Ottensmann panel; of those, 18 (90%) showed a concordant direction of effect in the Finnish sample, and eight (40%) were nominally significant ( p < 0.05) for an MDD association ( Figure S4 ).

For nominally significant interactions (unadjusted p < 0.05), we reported estimates reflecting differences in treatment responses between clinical subgroups (Table 3 ).

Although with small effects (absolute delta betas < 5%), two CpGs in KTN1 were nominally significant (cg14002714 and cg21059882; p < 0.05).

We find that 2/6 nominally significant relationships show evidence of replication, with the same direction of effect ( P < 0.05 after Bonferroni correction, linear regressions).

When only those 915 individuals possessing full data across all 10 environmental measures were analysed, the interactions between the 10-SNP-set and Teacher Negativity, Home Chaos and Parent Negativity were weaker, but remained nominally significant ( p < 0.05).

The associations supported by more than 1,000 cases and significant effects at a p -value of <0.001 were graded as “recommended.” Nominally significant associations ( p < 0.05) were considered weak evidence.

The presented additional file 3 indicate the power to find nominally significant associations (p < 0.05) given analysis settings used for the estimation of effect sizes shown in Tables 1 and 2 .

When comparing these results to our previous endometrium microarray study ( Fung et al ., 2018 ), we find 75% of Bonferroni significant eQTLs identified by RNA-Seq were nominally significant ( P < 0.05) in the microarray data with ES highly correlated (R = 0.75).

Analysis limited to the younger group identified 665 nominally significant ( p < 0.05) autosomal genes, with only three genes achieving FDR significance.